metrics

To list metric definitions for your active dataset, request a metrics overview to display all available metrics with their categories, owners, and validation statuses. You can then filter these metric definitions by category or search term to find specific data analytics calculations.

A metric dictionary stores definitions, formulas, units, and source tables for dataset metrics. You need to validate dataset metrics when analyzing data analytics outputs to ensure calculations follow defined guardrails and reference the correct source tables.

To view the formula and guardrails for a specific metric definition, request the metric by its identifier. This surfaces the full metric specification including its formula, unit, category, source tables, and validation status from the dataset dictionary.

Yes, when the metric dictionary is empty or you reference an undefined metric, suggested metric definitions are generated automatically using the dataset schema and recent analyses as guidance to propose relevant formulas and categories.

To filter metrics by category, request a category-specific listing from the active dataset's metric dictionary. This surfaces relevant metric definitions, formulas, and validation statuses grouped by their assigned categories for your data analytics workflow.

If you reference an undefined metric lacking a schema definition, the system proactively suggests a metric definition based on the active dataset schema and recent analyses, allowing you to inspect proposed formulas, units, and guardrails.